Title
Mask design for optical microlithography--an inverse imaging problem.
Abstract
In all imaging systems, the forward process introduces undesirable effects that cause the output signal to be a distorted version of the input. A typical example is of course the blur introduced by the aperture. When the input to such systems can be controlled, prewarping techniques can be employed which consist of systematically modifying the input such that it (at least approximately) cancels out (or compensates for) the process losses. In this paper, we focus on the optical proximity correction mask design problem for "optical microlithography," a process similar to photographic printing used for transferring binary circuit patterns onto silicon wafers. We consider the idealized case of an incoherent imaging system and solve an inverse problem which is an approximation of the real-world optical lithography problem. Our algorithm is based on pixel-based mask representation and uses a continuous function formulation. We also employ the regularization framework to control the tone and complexity of the synthesized masks. Finally, we discuss the extension of our framework to coherent and (the more practical) partially coherent imaging systems.
Year
DOI
Venue
2007
10.1109/TIP.2006.891332
IEEE Transactions on Image Processing
Keywords
Field
DocType
imaging system,process loss,optical microlithography,optical proximity correction mask,mask design,incoherent imaging system,real-world optical lithography problem,forward process,inverse imaging problem,coherent imaging system,inverse problem,design problem,apertures,indexing terms,algorithms,optical proximity correction,signal processing,image restoration,control systems,silicon,regularization,optics,photography,circuits,inverse problems,silicon wafer,sigmoid,lithography,optical imaging,silicon wafers
Integrated circuit layout,Aperture,Signal processing,Computer vision,Optical proximity correction,Photolithography,Image processing,Inverse problem,Artificial intelligence,Image restoration,Mathematics
Journal
Volume
Issue
ISSN
16
3
1057-7149
Citations 
PageRank 
References 
19
2.63
5
Authors
2
Name
Order
Citations
PageRank
Amyn Poonawala1233.06
Peyman Milanfar270052.20